Normalized weights: is using them enough? - University of Toronto

Normalized weights: is using them enough?

Session Outline

Main motivation behind using normalized (standardized) weights? Some problems associated with the use of weights How to compute normalized weights? Is it enough to use normalized weights?

Statistics Statistique

Canada

Canada

2

Normalized weights: Is using them enough?

Not so long ago, most statistical software programs that used a model-based approach did not offer the possibility of doing an analysis using a design-based approach.

As a result, we were faced with the following choices:

? Learn to use a new software

? Program your own macros

? Try to get the maximum out of the usual software (and accept the possibility of errors)

Statistics Statistique

Canada

Canada

3

Normalized weights: Is using them enough?

The use of normalized (standardized) weights is an attempt to make adjustments in order to continue using one's usual software.

Normalized weights consider the survey weights, but not the other aspects of the design (stratification, cluster sampling, calibration, etc.). This is a modification of the model-based approach (to include weights) or an incomplete application of the design-based approach.

Statistics Statistique

Canada

Canada

4

Normalized weights: Is using them enough?

To ensure that the estimates of the characteristics of the population of interest produced using the data collected are approximately unbiased with regard to the sampling distribution, each observation is accompanied by a survey weight:

Statistics Statistique

Canada

Canada

5

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